Quality Analyst, Gen AI Data Quality

Requirements

• Education
• Bachelor's degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.
• 2+ years in quality/ops with hands-on QA and workforce/training coordination.
• 1+ years leading people/pods (formal or informal).
• Multi-project planning and stakeholder management.
• Clear client communications and governance cadence participation.
• Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
• Capacity planning with vendors; confident escalation/negotiation.
• Effective in global, distributed teams.
• Additional Qualifications
• Near-native English with strong writing and editorial skills.
• Hands-on with generative AI tools (text/voice/video).
• Background in QA testing, rubric design, or AI safety/ethics evaluation.
• Familiarity with data-annotation platforms and model-evaluation tools.
• Ability to interpret code/datasets/workflows at a conceptual level (no coding required).
• Works independently and manages workflows effectively in a remote setup.
• Multilingual ability beyond English.
• Scope & Autonomy
• Leads quality, training, and performance tracks across several projects; independent within guardrails.
• Shared accountability for client results and team performance with Ops Manager.
• Additional Job Details:

Benefits

Additional Information

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here Job Responsibilities: Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager Key Responsibilities - Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes. - Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks. - Plan training & certification for raters/annotators and coordinators; track completion and impact. - Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions. - Manage client escalations; present options, trade-offs, and recovery paths. - Standardize SOPs, templates, and checklists; remove bottlenecks. - Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins. - Coach P1s and C2-C3 on tools, workflows, and QA craft. - Ensure compliance/security across data handling and platform access.

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Company Intel

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